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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 5663
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    Explanations

    numerical values expressing specific information like time, distance, or score in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and scores in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eus
    -0.70
    ebin
    -0.67
    urnal
    -0.65
     bott
    -0.64
    netflix
    -0.61
     Chern
    -0.61
     relegation
    -0.60
     hiber
    -0.59
     winter
    -0.59
     headline
    -0.57
    POSITIVE LOGITS
     yards
    1.12
     seconds
    1.03
     unanswered
    1.00
    mins
    0.90
     minutes
    0.87
    seconds
    0.87
     yard
    0.84
    yards
    0.83
     stitches
    0.79
    mph
    0.78
    Activations Density 0.065%

    No Known Activations